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next day wildfire.html
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<title>Benchmark Datasets for Machine Learning for Natural Disasters</title>
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<h3><b>Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data</b></h3> <!-- Title -->
<h5> Image | Wildfire | Preparedness </h5> <!-- Type | Topic | Disaster phase -->
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<div class="w3-container"> <!-- Data description -->
<p>Next Day Wildfire Spread is a dataset for wildfire spread prediction. It contains images for 18,545 fire events with snapshots at time t and t+1 day. It is introduced for image segmentation. </p>
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<li class="list-group-item"> <strong>ML task type:</strong> Image segmentation </li>
<li class="list-group-item"><strong>Data Source:</strong> Earth Observation Data and GeoSpatial Imagery (Remote sensing); Sensor network data; Official data (Research institutes) </li>
<li class="list-group-item"><strong>Size:</strong> 18,545 fire events with two image snapshots at time t and t+1 day </li>
<li class="list-group-item"><strong>Timespan:</strong> 2012 - 2020</li>
<li class="list-group-item"> <strong>Geographical Coverage:</strong> Contiguous US </li>
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<li class="list-group-item"> <strong>Baseline Information</strong></li>
<li class="list-group-item"> <strong>Evaluated on:</strong> Convolutional autoencoder</li>
<li class="list-group-item"> <strong>Metrics used:</strong> AUC, Precision, Recall </li>
<li class="list-group-item"> <strong>Results as reported in original paper: </strong> AUC: 28.4%; Precision: 33.6%; Recall: 43.1%</li>
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<li class="list-group-item"> <strong>Find out more by:</strong></li>
<li class="list-group-item"> <a href="https://arxiv.org/abs/2112.02447v2" target="_blank">Reading the research paper</a></li>
<li class="list-group-item"> <a href="https://www.kaggle.com/datasets/fantineh/next-day-wildfire-spread" target="_blank">Checking out the dataset!</a></li>
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Fantine Huot, R Lily Hu, Nita Goyal, Tharun Sankar, Matthias Ihme, and Yi-Fan Chen. Next day wildfire spread:
A machine learning data set to predict wildfire spreading from remote-sensing data. arXiv preprint arXiv:2112.02447,
2021.
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